The hemolysis index as a tool for monitoring mild hemolysis in biochemical assays at the emergency laboratory

Submitted: March 12, 2024
Accepted: October 14, 2024
Published: November 21, 2024
Abstract Views: 1
PDF: 6
Publisher's note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

Authors

Hemolysis is a common pre-analytical error that can affect the accuracy of biochemical assay results. The aim of the study is to investigate the impact of hemolysis on the measurement of nine emergency biochemical parameters: glucose, creatinine, calcium, potassium, sodium, Aspartate Aminotransferase (AST), Alanine Aminotransferase (ALT),total bilirubin, and direct bilirubin. The study included blood samples collected from various units of the maternity hospital, including high-risk pregnancies follow-up, postpartum care, gynecology, neonatology, and intensive care. The study employs a Hemolysis Index (HI) to monitor and assess sample quality, determining their suitability for the analysis of the nine aforementioned biochemical parameters. The results reveal that hemolysis can significantly affect the accuracy of tests results for the studied parameters, particularly for potassium (increased 4-12 times) and AST (increased 1.47-48.55 times). Three of the studied substances showed a significant, negative, and moderate correlation with HI after the osmotic shock was induced, including AST (r = -0.501, p = 0.006), ALT (r = -0.516, p = 0.004), and sodium (r = -0.598, p = 0.001). Conversely, no significant association was found for the other parameters, which are: glucose (r = 0.079, p = 0.639); creatinine (r = 0.140, p = 0.402); direct bilirubin (r = 0.292, p = 0.075); total bilirubin (r = 0.272, p = 0.114); calcium (r = 0.215, p = 0.196); and potassium (r = -0.188, p = 0.258). Our findings indicate that HI may not be helpful for calculating a predicted value for samples with HI ranging between 87.30 and 295.9. Therefore, it is crucial to establish a threshold for the degree of hemolysis beyond which releasing the result would be considered potentially harmful to the patient especially new-borns and premature infants. In conclusion, the appropriate use of HI in clinical laboratories can enhance patient care quality by minimizing the risk of misdiagnosis leading to inappropriate treatment, particularly when requesting a second sample is not feasible.

Dimensions

Altmetric

PlumX Metrics

Downloads

Download data is not yet available.

Citations

Pontet F. Hémolyse et protéines sériques. Ann Biol Clin 2000;58:637–8.
Mehmet Koseoglu, Aysel Hur, Aysenur Atay SÇ. Effects of hemolysis interferences on routine biochemistry parameters. Biochem Medica 2011;21:79–85.
Sapin R. Interférence de l’hémolyse et de l’hémoglobine : exemple du dosage de l’insuline. Ann Biol Clin 2003;59:113–4.
Pontet F. Hémolyse et protéines sérique. Ann Biol Clin 2000;58:637–8.
Lippi G, Blanckaert N, Bonini P, et al. Haemolysis: an overview of the leading cause of unsuitable specimens in clinical laboratories. Clin Chem Lab Med [Internet]. 2008 Jan 1 [cited 2021 Nov 25];46(6). Available from: https://www.degruyter.com/document/doi/10.1515/CCLM.2008.170/html
J.-L. Dhondt, J.-M. Hayte AD. Les prélèvements « hémolysés ». Ann Biol Clin 2000;58:639.
Yucel D, Dalva K. Effect of in vitro hemolysis on 25 common biochemical tests. Clin Chem 1992;38:575–7.
Ishiguro A, Nishioka M, Morishige A, et al. What is the best wavelength for the measurement of hemolysis index? Clin Chim Acta 2020;510:15–20.
Karabulut B, Arcagok BC. A neglected and promising predictor of severe hyperbilirubinemia due to hemolysis: carboxyhemoglobin. Fetal Pediatr Pathol 2020;39:124–31.
Visual hemolysis index for routine clinical chemistry laboratory parameters. Int J Clin Biochem Res 2020;5:217–21.
Atakan Erkal F, Aykal G, Yalçınkaya HM, et al. The effect of automated hemolysis index measurement on sample and test rejection rates. Turk J Biochem. 2019 Oct 25;44(5):630–4.
Meites S. Reproducibly simulating hemolysis, for evaluating its interference with chemical methods screening for cystic fibrosis by specific ion electrode. Clin Chem 1973;19:1319.
Ünlü B, Küme T, Emek M, et al. Effect of blood cell subtypes lysis on routine biochemical tests. J Med Biochem 2018;37:67–77.
Ali D, Sacchetto É, Dumontet E, et al. Hemolysis influence on twenty-two biochemical parameters measurement. Ann Biol Clin 2014;72:297–311.
Lippi G, Luca Salvagno G, Blanckaert N, et al. Multicenter evaluation of the hemolysis index in automated clinical chemistry systems. Clin Chem Lab Med [Internet]. 2009 Jan 1 [cited 2021 Nov 24];47(8). Available from: https://www.degruyter.com/document/doi/10.1515/CCLM.2009.218/html
Goyal T, Schmotzer CL. Validation of hemolysis index thresholds optimizes detection of clinically significant hemolysis. Am J Clin Pathol 2015; 143:579–83.
Verfaillie CJ, Delanghe JR. Hemolysis correction factor in the measurement of serum neuron-specific enolase. Cclm 2010;48:891–2.
Andreasen CB, Andreasen JR, Thomas JS. Effects of hemolysis on serum chemistry analytes in ratites. Vet Clin Pathol 1997;26:165–71.
Jägers J, Brauckmann S, Kirsch M, Effenberger-Neidnicht K. Moderate glucose supply reduces hemolysis during systemic inflammation. J Inflamm Res 2018;11:87–94.
Dupuy AM, Bargnoux AS, Kuster N, et al. Determination of hemolysis cut-offs for biochemical and immunochemical analytes according to their value. Clin Chem Lab Med CCLM 2020; 28;58:1232–41.
Maier-Redelsperger M, Lévy P, Lionnet F, et al. Strong association between a new marker of hemolysis and glomerulopathy in sickle cell anemia. Blood Cells Mol Dis 2010;45:289–92.
Şaşmaz Mİ, Ayvaz MA, Dülger AC, et al. Aspartate-aminotransferase to platelet ratio index score for predicting HELLP syndrome. Am J Emerg Med 2020;38:459–62.
Ercan Ş. The evaluation of hemolysis index thresholds for significant hemolysis interference on routine biochemistry analytes. Turk J Biochem [Internet]. 2016 Jan 1 [cited 2023 Aug 13];41(3). Available from: https://www.degruyter.com/document/doi/10.1515/tjb-2016-0033/html
Dor-Mohammadi T, Daryani NE, Bashashati M, et al. Relationship between serum alanine aminotransferase levels and liver histology in chronic hepatitis C-infected patients. Indian J Gastroenterol Off J Indian Soc Gastroenterol 2005;24:49–51.
N ED, F AA, T D, et al. The relationship between serum alanine aminotransferase level and liver biopsy findings in chronic hepatitis c 2004;9:232–6.
Ding Z, Zhang J, Deng CY, et al. Association of body mass index with serum alanine aminotransferase in Chinese adolescents: a school-based cross-sectional study. Gastroenterol Rep 2020;8:119–24.
Jalali-Nadoushan M, Vaez Mahdavi MR, Soroush MR, et al. Relationship between serum bilirubin concentration and inflammatory cytokines in victims exposed to sulfur mustard. Trauma Mon [Internet]. 2016 Oct 8 [cited 2023 Aug 13];22(6). Available from: http://traumamon.com/en/articles/64931.html
Greene DN, Holmes DT, Lin MJ, et al. Development of an equation to correct for hemolysis in direct bilirubin measurements. Clin Chim Acta 2014;429:194–7.
McDonagh AF, Lo SF, Maisels MJ, Watchko JF. Serum bilirubin measurements in hemolyzed samples. Clin Chim Acta 2011;412:1275.
Azhar M, Galgalkar S, Chakraborty I, et al. Hemolysis detection in sub-microliter volumes of blood plasma. IEEE Trans Biomed Eng 2020;67:1243–52.
Delgado JA, Morell-Garcia D, Bauça JM. Hemolysis interference studies: the particular case of sodium Ion. EJIFCC 2019;30:25–34.
Kalaria T, Gill H, Harris S, et al. The effect of haemolysis on the direct and indirect ion selective electrode measurement of sodium. Ann Clin Biochem Int J Lab Med 2021;58:190–5.
Wang CC, Felsher AR. The effect of hemolysis on the calcium and inorganic phosphorus content of serum and plasma. J Lab Clin Med 1925;10:269–72.
Poupon C, Lefèvre G, Ngo-François S, et al. Hemolysis interferences on frequently required stat analysis: a French multicentric study. Ann Biol Clin 2015;73:705–16.
Lippi G, Luca Salvagno G, Montagnana M, et al. Influence of hemolysis on routine clinical chemistry testing. Clin Chem Lab Med CCLM [Internet]. 2006;44. Available from: https://www.degruyter.com/document/doi/10.1515/CCLM.2006.054/html
Myhre E, Rasmussen K, Dale J. Mechanisms of hemolysis in patients with heart valve prostheses. Acta Med Scand 2009;189:105–7.
Tamagawa M, Minakawa S. Predictions of index of hemolysis in shear blood flow (effects of exposure time under shear stress on prediction accuracy). JSME Int J Ser C 2003;46:604–13.
Heireman L, Van Geel P, Musger L, et al. Causes, consequences and management of sample hemolysis in the clinical laboratory. Clin Biochem 2017;50:1317–22.
Pasqualetti S, Szőke D, Panteghini M. Heparinate but not serum tubes are susceptible to hemolysis by pneumatic tube transportation. Clin Chem Lab Med CCLM [Internet]. 2016 Jan 1 [cited 2023 Aug 12];54. Available from: https://www.degruyter.com/document/doi/10.1515/cclm-2015-0751/html
Lippi G, Mattiuzzi C, Cadamuro J. Is the hemolysis index always suitable for monitoring phlebotomy performance? Laboratoriums Medizin 2018;42:67–72.
Lippi G, Favaloro EJ, Franchini M. Haemolysis index for the screening of intravascular haemolysis: a novel diagnostic opportunity? Blood Transfus 2018;433–7.
Y D. Study of interference produced by haemolysis In 73 Analytical Tests. Biomed J Sci Tech Res [Internet]. 2020 Jan 13 [cited 2023 Jul 28];24. Available from: https://biomedres.us/fulltexts/BJSTR.MS.ID.004069.php

How to Cite

Bouazza, S., Bouarfa, A., khalfa, ali, Brikhou, S., & Demmouche, A. (2024). The hemolysis index as a tool for monitoring mild hemolysis in biochemical assays at the emergency laboratory. Journal of Biological Research - Bollettino Della Società Italiana Di Biologia Sperimentale. https://doi.org/10.4081/jbr.2024.12469